Senior Data Engineer (ADB)
Bulgaria, Georgia, Poland, Romania, Uzbekistan
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDefine and enforce best practices and coding standards across the project
Design, develop, and maintain robust and scalable Spark applications
Write clean, maintainable, and efficient code following best practices and coding standards
From the employer’s posting
What You’ll Do Define and enforce best practices and coding standards across the project Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
Communicating with the client regularly Design, develop, and maintain robust and scalable Spark applications Write clean, maintainable, and efficient code following best practices and coding standards
Design, develop, and maintain robust and scalable Spark applications Write clean, maintainable, and efficient code following best practices and coding standards Optimize code for performance and scalability, ensuring efficient data handling
What you’ll bring
All qualificationsCore experience
- Practical experience developing SQL stored procedures and migrating them into Spark SQL or PySpark environments
- Solid understanding of microservices architecture and its implementation in scalable systems
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
- Strong proficiency in Python, specifically for complex data manipulation utilizing libraries like Polars or Pandas
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
Qualification wording
Practical experience developing SQL stored procedures and migrating them into Spark SQL or PySpark environments
Solid understanding of microservices architecture and its implementation in scalable systems
Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
Expertise in containerization and orchestration tools such as Docker and Kubernetes
Strong proficiency in Python, specifically for complex data manipulation utilizing libraries like Polars or Pandas
Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Delta
- Docker
- MongoDB
- Redis
- Spark
- Polars
- PySpark
- Kubernetes
- pandas
- Fastapi
Source — Tool mentions in context
Project Tech Stack Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs What You’ll Do
- Proven track record of optimizing Spark performance within production-level projects - Strong proficiency in Python, specifically for complex data manipulation utilizing libraries like Polars or Pandas - Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Solid hands-on experience in software development - Practical experience developing SQL stored procedures and migrating them into Spark SQL or PySpark environments - Extensive expertise using PySpark on Databricks, encompassing Delta tables, cluster management, and workflow automation
Nice to have - Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more - Familiarity with FastAPI
- Practical experience developing SQL stored procedures and migrating them into Spark SQL or PySpark environments - Extensive expertise using PySpark on Databricks, encompassing Delta tables, cluster management, and workflow automation - Proven track record of optimizing Spark performance within production-level projects
- Strong proficiency in Python, specifically for complex data manipulation utilizing libraries like Polars or Pandas - Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables - Proven expertise in data processing, analysis, and transformation workflows
- Familiarity with FastAPI - Expertise in containerization and orchestration tools such as Docker and Kubernetes English level
- Communicating with the client regularly - Design, develop, and maintain robust and scalable Spark applications - Write clean, maintainable, and efficient code following best practices and coding standards
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more - Familiarity with FastAPI - Expertise in containerization and orchestration tools such as Docker and Kubernetes
About Exadel
Our client is one of the Big Four accounting firms and the world’s largest professional services network.
In the employer’s words · Read in context
Job description
Join Exadel as a Senior Data Engineer and bring logic to life with ADB. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- Solid hands-on experience in software development
- Practical experience developing SQL stored procedures and migrating them into Spark SQL or PySpark environments
- Extensive expertise using PySpark on Databricks, encompassing Delta tables, cluster management, and workflow automation
- Proven track record of optimizing Spark performance within production-level projects
- Strong proficiency in Python, specifically for complex data manipulation utilizing libraries like Polars or Pandas
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
- Compensation details are shared with candidates at the early stage of the recruitment process.
- The offer is not binding until a signed contract is in place.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bulgaria, Georgia, Poland, Romania, Uzbekistan
- International projects - In-office, hybrid, or remote flexibility - Medical healthcare
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 29, 2026
- Recorded sightings
- 78
- Last seen by us
- Sep 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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